Catalyst Project: Computational Research On Music and Audio

催化剂项目：音乐和音频的计算研究

• 批准号: 1410586
• 负责人: David Heise
• 金额: $ 19.93万
• 依托单位: Lincoln University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1410586&HistoricalAwards=false
• 关键词: Catalyst; Project; Computational; Research; Music

Catalyst Projects provide support for Historically Black Colleges and Universities to work towards establishing research capacity of faculty to strengthen science, technology, engineering and mathematics undergraduate education and research. It is expected that the award will further the faculty member's research capability, improve research and teaching at the institution, and involve undergraduate students in research experiences. This project at Lincoln University in Missouri will investigate aspects and applications of computational audio signal processing, drawing from disciplines such as computer science, engineering, mathematics, and music, and will include undergraduate students in the research activities. Results from this work could have potential applications in areas such as improving hearing aids in noisy environments or automatic transcription of musical recordings.The project at Lincoln University proposes to create an interdisciplinary research group in computational research on music and audio that will involve undergraduate students. Specific research aims are the detection of onsets and offsets in musical audio; sound source separation based on binary masking of time-frequency elements; and development of mathematical methods to quantify and decompose sound mixtures and components of sounds mixtures. An advisory committee has been established to guide the project, as well as facilitate the establishment of research collaborations.

催化剂项目为历史上的黑人学院和大学提供支持，努力建立教师的研究能力，以加强科学，技术，工程和数学本科教育和研究。预计该奖项将进一步提高教师的研究能力，改善研究和教学机构，并参与本科生的研究经验。 这个项目在林肯大学在密苏里州将调查方面和应用程序的计算音频信号处理，从学科，如计算机科学，工程，数学和音乐，并将包括本科生的研究活动。这项工作的结果可能在诸如改善噪音环境中的助听器或音乐录音的自动转录等领域具有潜在的应用。林肯大学的该项目提议创建一个跨学科的音乐和音频计算研究小组，该小组将涉及本科生。具体的研究目标是检测音乐音频的起始和偏移;基于时间-频率元素的二进制掩蔽的声源分离;以及开发量化和分解声音混合物和声音混合物成分的数学方法。已成立一个咨询委员会来指导该项目，并促进建立研究合作。